Stop posting boring screenshots! Follow these steps religiously to create high-engagement educational content.
Step 1: The Brainstorm 
Login to your Gemini interface. We need to condense the technical documentation into a format that a veteran developer (10+ years exp) would appreciate.
The Summary Prompt:
“Create a summary for this URL: https://shdhumale.wordpress.com/2025/08/12/building-a-local-fastmcp-server-with-an-adk-agent/ and make sure to keep the ‘thinking’ mode on.”
or you can also use below prompt
summarized the text from the given url https://shdhumale.wordpress.com/2025/08/12/building-a-local-fastmcp-server-with-an-adk-agent/. Make sure the audience is software developer
Make sure to keep the “thinking” mode on
Step 2: The Deep Content Refinement 
Once you have the summary, you need to structure the “logic” of your note. Use the following prompt to refine the output:
The Expert Refinement Prompt:
List the most crucial information about [topic] that [audience] must know. Do not change the title. Be specific and explanatory. Use complete sentences that are read smoothly, provide any required definitions and give examplesof illustration(s) that can be used to explain the key concept(s) of each section.Do not create a ‘Why it matters’ section. Limit section titles to the absolute minimum.
i.e. For us it will be
“List the most crucial information about [Objective: The tutorial demonstrates how to create a local FastMCP server and connect it to an AI agent built with Google’s ADK. This setup allows the agent to delegate complex tasks or data retrieval to a specialized server rather than handling everything internally.
Core Architecture:
FastMCP Server: A Python-based server that exposes specific tools (e.g., a function to fetch object details by ID).
ADK Agent: An LlmAgent (typically powered by models like Gemini 2.0 Flash) that serves as the user interface.
The Bridge: The agent uses a local tool (e.g., get_mcp_data) that functions as a FastMCP Client. This client connects to the server, calls the required remote tool, and returns the result to the agent.
Workflow:
A user asks the ADK agent for specific information (e.g., “Fetch data for object 2”).
The agent identifies the need for external data and triggers its “bridge” tool.
The bridge tool initiates a request to the local FastMCP server via the fastmcp.Client.
The server executes the logic and returns the data to the agent.
The agent processes the raw data into a human-readable response for the user.
Benefits: This “Agent-First” development approach promotes modular design. By decentralizing capabilities, developers can scale an agent’s functionality by simply adding or updating tools on the MCP server without needing to re-code the primary agent’s core instructions.
Technologies Used:
Python for the backend logic.
FastMCP library for server-client communication.
Google ADK for building the intelligent agent framework.
Gemini models for reasoning and tool selection.
The article emphasizes that this pattern is a powerful way to build robust AI applications that can interact with various external services and data sources seamlessly.] that [software developer with 10 years exprience ] must know. Do not change the title. Be specific and explanatory. Use complete sentences that are read smoothly, provide any required definitions and give examplesof illustration(s) that can be used to explain the key concept(s) of each section.Do not create a ‘Why it matters’ section. Limit section titles to the absolute minimum.”
Step 3: The Visual Magic (The Infographic) 
Now, we turn that text into art. This is the “secret sauce” prompt that creates the aesthetic of an aged, spiral-bound notebook.
The Image Generation Prompt:
“Create an educational infographic on aged, lined, spiral-bound notebook paper with a [9:16] ratio, based on the above information. The visual aesthetic must use realistic, detailed colored pencil and watercolor textures for illustrations alongside neat, printed architectural-style handwriting for text. Design the page with a decorative main title banner at the top, followed by the most fundamental definition and a large, cinematic panoramic illustration spanning the width of the page. Below this, organize key concepts into a bulleted list section using stylized checkmark icons, and divide the remaining lower half of the page into a modular grid of distinct, rectangular boxes, where each box contains a specific, fully labeled comparative diagram or classification illustration with its own descriptive caption. Use no titles other than the main one..”
The Result: A Masterpiece of Technical Education
Imagine your blog post looking like this instead of a standard README file:
A high-resolution vertical infographic on spiral-bound paper. At the top, a banner reads ‘FastMCP & ADK Agent Architecture’. Below it, a watercolor diagram shows an AI agent ‘handing’ a task to a local server. The bottom half contains neatly boxed diagrams of Python code snippets and client-server handshakes, all in architectural handwriting.]
Why This Works for Developers 
- High Signal-to-Noise Ratio: It cuts the fluff and shows the architecture immediately.
- Cognitive Ease: Hand-drawn diagrams are often easier for the brain to map than rigid, high-contrast digital UML diagrams.
- Aesthetic Appeal: It stands out in a LinkedIn or Twitter feed full of generic stock photos.
Conclusion
The “Agent-First” development approach is the future. By decentralizing capabilities via FastMCP, you can scale your AI’s skills without bloating the primary model’s instructions.
Next time you build something cool, don’t just write about it—sketch it. 
Are you ready to turn your documentation into art? Try the prompts above and tag us in your creations! 
###AI ###SoftwareEngineering ###FastMCP ###GoogleADK ###Gemini ###WebDevelopment ###CodingLife ###Infographics
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